Abstract

In this paper, we give attention to the robustness of the Cyber-Physical System, which consists of interdependent physical resources and computational resources. Numerous infrastructure systems can evolve into the Cyber-Physical System, e.g., smart power grids, traffic control systems, and wireless sensor and actuator networks. These networks depend on their interdependent networks, which provide information or energy to function. In a Cyber-Physical System, a small failure could trigger serious cascading failures within the entire interdependent networks. In this paper, we try to alleviate these cascading failures between interdependent networks to reduce losses. We discuss the robustness of systems for random attacks by calculating the size of functioning components in entire networks. We change the inter-links topology of the coupled networks to enhance the reliability of the entire system. Then we get the most effective swapping strategy in enhancing the robustness of the Cyber-Physical System compared to previous studies. Different systems’ structures would influence the performance of swap inter links strategies on improving the reliability of networks. Moreover, our work could guide how to optimize a Cyber-Physical System topology by reducing the influence of cascading failures.

Highlights

  • With the rapid development of the economy and society, the Internet has been widely used in our daily life and society

  • This finding is in agreement with the finding of [25]. (iv) For the same number of swapping inter-links, we find that the Low eigenvector centrality swapping strategy (LEC) strategy has opposite results for enhancing G at ER-SF and SF-ER interdependent networks for different (1 − p) values

  • To study the effect of cascading failures and robustness in real social networks, we construct different CPS models which consist of interdependent physical-resources and computational-resource networks

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Summary

Introduction

With the rapid development of the economy and society, the Internet has been widely used in our daily life and society. Since the networks bring great convenience and economic benefits, more and more companies and countries are focusing on them. The networks have further grown from single small-scale to complex large-scale. The network plays an increasingly important role in our everyday life. Extensive research on complex networks has been conducted. This research demonstrates that many critical properties of the network’s organization, growth, and robustness. Research on network robustness has been pushed further. But the network does not occur in isolation.

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